New Release - 5 Step Approach to Data-driven Maintenance Planning
5 Step Approach to Data-driven Maintenance Planning
Download a copy of our latest guide to find out how to maintain and protect your assets for use and value.
Long term maintenance planning is a continuous and often lengthy process containing many requirements across a considerable number of buildings. Learning how to handle all of the data is imperative to completing the maintenance within a set timescale and budget.
Topics covered in this guide
Provelio explain the 5 step approach to data-driven maintenance planning and the services required to achieve this.
Define
The first stage is to determine what data sources are available. This data must then be collated and arranged to define and determine the volume of the long-term maintenance programme.
Prioritising
With work packages established the process of prioritisation can begin. Each package can then be ranked and prioritised based on the requirement of the organisation.
Visualising
With data collated and organised this can then be inputted into a visualisation tool. Visually modelling the required estate works will enable organisations to better understand their programme.
Scheduling
Works can then be scheduled into a delivery calendar according to the prioritisation outlined and determined using the data analysis and visaulisation methods.
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